How to Extract More Revenue Out of Your Brand Campaigns

Marketing leaders today have to get bullish about the kinds of sophisticated advanced analytics tools we choose and use—because each month that passes could represent lost revenue if we’re not making data-informed decisions based on accurate cross-channel data using the latest analytics approaches.

The New Persona of Today’s Data-Driven Marketer

We are not the same person. From last year or five years ago.

Recently, I had the privilege to co-host with Adweek an amazing group of data-driven, digital marketing thought leaders for a webcast titled: The 4 Essential Elements of Data-Driven Marketing: What You Need to Know in 2020. From my time with them, this blog represents the first in a series to highlight some of the best takeaways from our panel discussion: Check out the panelists who drew close to 1500 registrants!

6 Stand-Out Marketing Chiefs

I love what I do. I especially love it when fellow marketing leaders take the time to share their business wisdoms, energy, passions, and personal learnings—because it lights a fire in me. For all the marketing leaders out there who also love what they do, relish a good challenge, and who appreciate the bond we all share as we venture into a new decade—enjoy some favorite 2019 takeaways from my time with these 6 incredible chief marketers. By the way, this was not an easy task given my

A Winning Marketing Scorecard Starts and Ends with Better Data

C-suite support for data initiatives is changing. Those at the helm are seeing the advantages of shifting from a reliance on data as a tactical tool to a strategically leverageable source of rich insights. There is a new willingness to invest in the people, process, and tools related to accurately capturing marketing data and making business decisions based on it. As evidence of this, database health KPIs are now showing up on more CMO scorecards. There are also new skillsets joining the

Is Marketing Ready for Artificial Intelligence?

The Rise of Data Science as a Service

After a few AI winters, we may have finally entered the golden age for Machine Learning (ML) and Artificial Intelligence (AI). The environment for the expansion of ML for marketing has never been better, with exponential growth in data volume now meeting sophisticated algorithms and AI procedures to solve all kinds of business challenges. Couple this capability with the incredible efficiency of cloud storage and compute services, and the world is well

Why the Data Surge Is Elevating Our Role

A few weeks ago, I had the honor of moderating an amazing panel of CMOs for a conDati hosted, sold out event called Data Night Seattle. The topic for the evening is always a hot one: Turning Marketing Data into Business Growth. It just so happened that all the CMO panelists were women (unplanned) and all powerhouse business-builders, responsible for driving a combined growth of nearly $30B. It’s not surprising then, that our discussion was packed with lively, fresh and valuable insights (plus

Accelerate Your Digital Marketing Maturity Through Trusted, Accurate, Holistic Reporting

As marketing leaders, you’re learning that today’s deluge of audience, campaign, and content data doesn’t have to be a barrier to producing predictable results and effective data-driven marketing strategies—strategies that meet or exceed business goals.

Can Marketing Data Be Trusted to Help Meet Business Goals?

The Short and Long Answer is 'Yes'

Why Modern Marketers Face Increased Pressure to Perform

The Expanded Influence of the Marketing Leader

Digital marketing has changed at an accelerated pace and it’s not expected to slow down. The widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML) to interpret the steady stream of incoming customer data has impacted the marketing game forever, bringing both challenge and opportunity. Today, marketing leaders from mid-sized organizations to global enterprises are expected to lead the charge (and expanded budget) for a

Beyond Big Data: Toward Real Insight

Marketing professionals today are inundated from all sides with hype about the future of big data, AI, and machine learning.

Whether the takeaway is better reporting, concern for job security, or mathemagical seeming insights, everything boils down to big data and the mysterious “black box” of AI and machine learning.